Taper-pin flutter-type self-centering device for testing wheel tread parameters

Abstract

A taper pin flutter type self-centering device for wheel tread parameter detection, the upper end surface of the friction support disc is in contact with the end face of the wheel hub, the conical surface of the T-shaped taper pin is close to the chamfer of the hub hole, and its outer cylindrical surface is installed on the guide disc In the inner hole of the inner hole, the spring is installed between the inner hole of the T-shaped taper pin and the inner hole of the guide disc, the outer cylindrical surface of the guide disc is installed in the inner hole of the friction support disc, and the lower end surface of the friction support disc is integrated with the gear rotating disc The gear rotating disc is supported by a thrust ball bearing and a support tray, the bottom of the support tray is connected with a synchronous hydraulic cylinder, and the piston rod of the flutter hydraulic cylinder is in contact with the bottom surface of the guide disc. The device of the present invention has the characteristics of fast centering, high precision, simple structure, and low cost. It does not need to be clamped when measuring the wheel rotation, and the operation is simple. It can obtain the tread parameters evenly sampled in one circle of the wheel, which meets the requirements of the wheel tread parameters in automatic production. The accuracy and beat requirements of online detection have good application value.

Description

technical field [0001] The invention relates to a centering device for on-line detection of geometric parameters of train wheels, in particular to a taper pin flutter type self-centering device for detection of wheel tread parameters. Background technique [0002] The wheel is one of the most important components of the rolling stock running parts. During the operation of rolling stock, the wheels are in contact with the rails and produce relative rolling. The geometric parameters of the wheel tread have a great influence on the safety, running stability and ride comfort of rolling stock. Therefore, the detection of the geometric parameters of the wheel tread is a very important process in the wheel production process, aiming to ensure that the tread geometric parameters of the produced wheels are within the specified error range. [0003] At present, in the production of wheels, the geometric parameters of the tread are mainly detected by the manual template comparison met...

AI Technical Summary

Problems solved by technology

Sampling inspection by manual template comparison method has disadvantages such as inaccurate detection and positioning, large error, poor reliability, high missed detection rate, high labor intensity and low efficiency, and the quantitative data of the tread can not be obtained by the template comparison measurement method, which cannot be realized by computer technology. The query of wheel tread data also cannot perform statistical analysis on the processing errors of the production line. Therefore, manual sample comparison method sampling inspection cannot meet the needs of wheel tread parameter detection accuracy, tempo and full life cycle traceability of wheel tread data in automatic wheel production.

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